MNS
Mixed Neighbourhood Selection
An implementation of the mixed neighbourhood selection (MNS) algorithm. The MNS algorithm can be used to estimate multiple related precision matrices. In particular, the motivation behind this work was driven by the need to understand functional connectivity networks across multiple subjects. This package also contains an implementation of a novel algorithm through which to simulate multiple related precision matrices which exhibit properties frequently reported in neuroimaging analysis.
- Version1.0
- R version≥ 2.10.1
- LicenseGPL-2
- Needs compilation?No
- Last release12/08/2015
Documentation
Team
Ricardo Pio Monti
Christoforos Anagnostopoulos
Show author detailsRolesAuthorGiovanni Montana
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 126 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
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Last 365 days
This package has been downloaded 1,542 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 25 downloads.
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Dependencies
- Depends4 packages
- Imports1 package